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Miss Tania Ledezma
Miss

Tania Ledezma

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Overview

Background

Tania is interested in researching, developing and applying advanced control solutions, computational analysis, and process simulation to optimise processes in the mining industry. She joined the JKMRC as a member of the Advanced Process Prediction and Control (APPCo) group in 2023 and has since worked mainly on projects to develop soft sensors for mineral processing operations. Highlights include JK MillFIT to estimate mill content and charge trajectory, CycloPS to estimate cyclone performance and DMC soft sensor to estimate dense medium cyclone performance in coal operations.

Tania completed her undergraduate study in Chemical Engineering and a Master's degree in Chemical Engineering with a major in Process Control in 2015. For her master's thesis, she worked on the study and evaluation of mill power draw models; these studies contributed to the development of a vibration sensor and software to measure filling in tumbling mills.

Tania has over nine years of experience in the Chilean mining industry, where she has held several key roles as a Project Engineer, Process Engineer, Data Processing Specialist and Advanced Process Control Engineer. Throughout her career, she has maintained strong ties with academia, collaborating on publications and promoting collaborative research between the mining industry and Chilean universities.

Availability

Miss Tania Ledezma is:
Available for supervision

Qualifications

  • Bachelor of Chemical Engineering, Universidad Técnica Federico Santa María
  • Masters (Coursework) of Chemical Engineering, Universidad Técnica Federico Santa María

Works

Search Professor Tania Ledezma’s works on UQ eSpace

3 works between 2016 and 2024

1 - 3 of 3 works

2024

Journal Article

Application of machine learning for generic mill liner wear prediction in Semi-Autogenous Grinding (SAG) mills

Pural, Yusuf Enes, Ledezma, Tania, Hilden, Marko, Forbes, Gordon, Boylu, Feridun and Yahyaei, Mohsen (2024). Application of machine learning for generic mill liner wear prediction in Semi-Autogenous Grinding (SAG) mills. Minerals, 14 (12) 1200, 1-16. doi: 10.3390/min14121200

Application of machine learning for generic mill liner wear prediction in Semi-Autogenous Grinding (SAG) mills

2022

Journal Article

Estimating residence time distributions in industrial closed-circuit ball mills

Vinnett, Luis, Contreras, Felipe, Diaz, Francisco, Pino-Munoz, Catalina and Ledezma, Tania (2022). Estimating residence time distributions in industrial closed-circuit ball mills. Minerals, 12 (12) 1574, 1-14. doi: 10.3390/min12121574

Estimating residence time distributions in industrial closed-circuit ball mills

2016

Conference Publication

Gas holdup estimation in flotation machines using image techniques and superficial gas velocity

Vinnett, L., Ledezma, T., Alvarez-Silva, M. and Waters, K. (2016). Gas holdup estimation in flotation machines using image techniques and superficial gas velocity. 7th International Flotation Conference (Flotation), Cape Town, South Africa, 16-19 November 2015. Oxford, United Kingdom: Elsevier. doi: 10.1016/j.mineng.2016.07.005

Gas holdup estimation in flotation machines using image techniques and superficial gas velocity

Supervision

Availability

Miss Tania Ledezma is:
Available for supervision

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Media

Enquiries

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